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MAP Data Directory Page

MAP holds a wide range of malariometric data, so much so that it can prove difficult to find the correct page on the website to download a given set of data. This page provides a summary of the data available and links to appropriate pages for downloads.

A PDF version of this page is available.

MAP provides the outputs of our research, as well as broader technical advice and support, to National Malaria Control Programmes (NMCPs), non-governmental organisations (NGOs), Ministries of Health, and other third parties as part of our commitment to open access data.

To this end, MAP obtains, curates, and shares a wide variety of malariometric data. These fall into two categories:

  1. Published modelled outputs.

    All the published outputs of MAP staff are available for download. We can also make unpublished intermediary outputs available on request.

  2. Input data for models.

    These include a wide variety of malariometric and covariate data. We make as much of this available for download as possible, although some datasets are restricted by either owner permissions or other factors.

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Where to Find Data

Because different audiences have varying requirements, we have provided three avenues to locate any given set of data.

Many areas of data have dedicated pages on which we have collected relevant files for convenience of download.

The Data Explorer provides a map-based interface and allows the download of data at a global scale. Search for data either by expanding the “Layer Catalogue” or by entering terms in the Search field.

The Explorer Layer Catalogue
The Explorer Layer Catalogue
The Explorer Search Field
The Explorer Search Field

The Trends pages provide interactive graphs, preformatted maps, and data sources and allow download of data clipped or restricted to the region or country of interest.

Global Trends
Regional Trends
Country Trends
Cote D’Ivoire Malaria Trends

Published modelled outputs

MAP uses geostatistical models to make predictions of true malaria burden and related metrics. These are described below and are listed in the same order in which they appear in the Layer Catalogue on the Data Explorer.

  • Blood Disorders
  • Febrile Illness

    MAP has quantified the prevalence of two key symptoms of malaria (fever and anaemia) across Africa to generate a better understanding of how much malaria contributes to each of these syndromes on the continent. The following predictions of malaria attribution are available from the Data Explorer or Trends pages:

    • All-cause fever
    • Malaria-attributable fever as a proportion of all-cause fever
    • Malaria-attributable fever as a proportion of malaria-positive fever
    • Malaria-positive fever as a proportion of all-cause fever
    • Non-malarial fever
  • Human Population
    • Accessibility

      MAP has modelled travel-times to centres of population (as a proxy for accessibility to services, institutions, and individuals supportive of socioeconomic success, good health, and overall wellbeing. The following predictions are available from the Accessibility Project Page and the Data Explorer and Trends pages:

      • A global friction surface enumerating land-based travel speed for a nominal year 2015 (minutes required to travel one metre)
      • A global map of travel time to cities to assess inequalities in accessibility in 2015 (predicted travel time in minutes to nearest city) – available as both raster data and summarised to admin 1 level on the Accessibility Project Page
      • Example Code for Accessibility Mapping (on the Accessibility Project Page)
    • Housing

      MAP has led work to model the prevalence of improved housing in sub-Saharan Africa. The following data are available from the Data Explorer and Trends pages:

      • Prevalence of improved housing in sub-Saharan Africa, in 2000
      • Prevalence of improved housing in sub-Saharan Africa, in 2015
  • Malaria Risk

    MAP continually generates estimates of clinical burden and endemicity as part of its work with the World Health Organization and The Institute of Health Metrics and Evaluation. The most up-to-date estimates can be accessed from our Malaria Burden and Malaria Burden Data Download pages.

    The Malaria Burden Data Download page provides global downloads of raster and summarised tabular data for:

    • Plasmodium falciparum and P. vivax incidence count, incidence rate, parasite rate, and percentage change
    • P. falciparum mortality count and rate

    These data may also be downloaded from the Data Explorer and Trends pages.

    Older work on malaria risk can be downloaded from the Data Explorer and Trends pages, as follows:

    • Clinical Burden
      • Predicted P. falciparum incidence rate in Africa, 2000-2015 (published in 2015)
      • Predicted P. vivax relapse incidence per 100,000 person days globally, 2013 (published in 2012)
    • Endemicity
      • Predicted P. falciparum parasite rate in 2-10 year olds in Africa, 2000-2015 (published in 2015)
    • Intervention
    • Reproductive number
      • Spatial distribution of P. falciparum reproductive number under control, 2000-2016 at admin 1 and admin 2 level (unpublished)
    • Temperature Suitability
      • Predicted days per year which could support infectious P. falciparum vectors, 2010 (published 2011)
      • Predicted temperature suitability index for P. falciparum transmission, 2010 (published 2011)
      • Predicted days per year which could support infectious P. vivax vectors, 2010 (published 2011)
      • Predicted temperature suitability index for P. vivax transmission, 2010 (published 2011)
    • Transmission Limits
      • Predicted spatial limits of P. falciparum malaria transmission globally, 2010 (published 2011)
      • Predicted spatial limits of P. vivax malaria transmission globally, 2010 (published 2012)
  • Vector Occurrence

    The following data can be downloaded from the Data Explorer and Trends pages:

    • Predicted dominant malaria vector species globally, 2010
    • Predicted secondary dominant malaria vector species in Africa+, 2010
    • Predicted vector occurrence (archive)
    • Predicted vector occurrence (current – supercedes those maps in the archive)
  • Zoonotic Malaria

    The following data can be downloaded from the Data Explorer and Trends pages:

    • Predicted distribution of macaque hosts
    • Predicted relative risk of zoonotic Plasmodium knowlesi, 2016

Input data for models

MAP collects a variety of malariometric data, which are available either directly from the pages listed below or on request. Data available for direct download can also be found at a global scale on the Data Explorer or at regional/country scale on the Trends pages.

  • Survey Data:
  • Public-domain malaria metrics reported through routine surveillance
    systems

    MAP has an annual project to collect public-domain malaria metrics reported through routine surveillance systems. These data are available for download on request. We are planning to make them available for direct download from our website in due course.

  • Covariate data

    MAP continually refreshes its set of satellite imagery capturing global environmental conditions that influence malaria transmission. Due to the large volumes of data involved, these data are available for download on request on request only. Please see the Covariate Data Page for further details.

  • Administrative Boundaries

    MAP has assembled a set of administrative unit geometry files for the malaria-endemic world. All these geometry sets are publicly available but the conditions attached to them prevent us from currently making them available for download from our web site. We are able to share these data on request.